Використання Data Analytics для дослідження мультимодального впливу навколишнього середовища на когнітивні здібності людини

- Burov, O. Yu. (orcid.org/0000-0003-0733-1120), Lytvynova, S. H. (orcid.org/0000-0002-5450-6635) and Pinchuk, O. P. (orcid.org/0000-0002-2770-0838) (2025) Використання Data Analytics для дослідження мультимодального впливу навколишнього середовища на когнітивні здібності людини In: International Conference ICCCNet 2025, 01.08-03.08.2025, c. Manchester, Great Britain. (Unpublished)

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Abstract

The analysis of multi-modal data, especially related to such a complex object as a human in the loop of human-system integration can be more effective if applying the data analytics methodology. In our research we studied indicators: human performance of regular cognitive tests over 6 weeks, physiological measurements of HRV and blood pressure, as well as external indices of atmospheric pressure, solar wind, interplanet and geomagnetic fields. This research proposes the technique based on descriptive analysis of human indicators of cognitive performance including comparison of variations of indicators at levels of a human and inter-human variation; multiple regression analysis with the stepwise procedure to select the most informative indicators among potentially influencing factors; summarizing data visualized representation of revealed indicators that can be included in descriptive models. It has been revealed that the most influences indicators are HRV, total strength of the interplanetary magnetic field Bt, SW density and anisotropic index.

Item Type:	Conference or Workshop Item (Poster)
Keywords:	Data Analytics, Cognitive Performance, Multi-modal, Space
Subjects:	Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 Application-oriented computer-based techniques Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 1 Philosophy. Psychology Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 3 Social Sciences > 37 Education
Divisions:	Institute for Digitalisation of Education > Department of Technologies of Open Learning Environment
Depositing User:	с.д/п.н.с. Oleksandr Burov
Date Deposited:	07 Feb 2026 18:54
Last Modified:	07 Feb 2026 18:56
URI:	https://lib.iitta.gov.ua/id/eprint/748375

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